Tootfinder

I want one 😍
https://bitbang.social/@NanoRaptor/115411530280023507

Nanoraptor (@NanoRaptor@bitbang.social)
Attached: 1 image 386.

I'm 5'5.5" which I guess would then make me 5.5'5" so... 5'11"
i would finally be as tall as people on the internet think I am and I wouldn't need help with shelves anymore so I guess that's cool
https://bitbang.social/@NanoRaptor/115

Nanoraptor (@NanoRaptor@bitbang.social)
Swap the feet and inches in your height. If you were 5’6”, now you’re 6’5”. How much does this change your life?

No sugarcoating The vOICe learning curve: "It's a mountain, not a molehill" https://nimerblogs.blogspot.com/2025/09/seeing-with-sound-my-adventures-in.html says another congenitally blind user of The vOICe. But compatibility with AI scene de…

Da vi kom ned på bildækket efter endt overfart til RŸdby, stod der en mand og spurgte om han lige måtte se om vores bildŸr ville ramme hans bil når man åbnede - for det var en helt ny bil og nu havde den fået en stor bule. Jeg svarede at det var ligegyldigt hvordan dŸrene stod i forhold til hinanden, for hans bil var der slet ikke da vi gik ud. “Jeg har taget et billede af jeres nummerplade”, sagde han så. Jamen, det kan ikke lade sig gŸre, rækken her var helt tom da vi kom. “Jamen, måske ka…

Coherent Optical Control of Electron Dynamics in Patterned Graphene Nanoribbons
Riek H. R\"ustemeier, H. P. Ojeda Collado, Ludwig Mathey
https://arxiv.org/abs/2510.08678 ht…

Coherent Optical Control of Electron Dynamics in Patterned Graphene Nanoribbons
The field of coherent electronics aims to advance electronic functionalities by utilizing quantum coherence. Here, we demonstrate a viable and versatile methodology for controlling electron dynamics optically in graphene nanoribbons. In particular, we propose to flatten the band structure of armchair graphene nanoribbons via control electrodes, arranged periodically along the extended direction of the nanoribbon. This addresses a key mechanism for dephasing in solids, which derives from the mom…

Machine-learning-enabled methodology for the ab-initio simulations of sub-$\mu$m-wide nanoribbons
Guan-Hao Peng, Chin-Jui Huang, Wen-Teng Yang, Shun-Jen Cheng
https://arxiv.org/abs/2510.01802

Machine-learning-enabled methodology for the ab-initio simulations of sub-$μ$m-wide nanoribbons
Simulation of mesoscopic nanostructures is a central challenge in condensed matter physics and device applications. First-principles methods provide accurate electronic structures but are computationally prohibitive for large systems, while empirical band theories are efficient yet limited by parameter fitting that neglects wavefunction information and often yields non-transferable parameters. We propose a methodology that bridges these approaches, achieving first-principles-level reliability w…

Valley-dependent topological interface states in biased armchair nanoribbons in gapless graphene
Zheng-Han Huang, Jing-Yuan Lai, Yu-Shu G. Wu
https://arxiv.org/abs/2510.05653 ht…

Valley-dependent topological interface states in biased armchair nanoribbons in gapless graphene
We investigate an electrical bias-controlled, topological kind discontinuity in valley polarization, in a two-segment armchair nanoribbon of gapless graphene, where the discontinuity is created at the interface by applying opposite in-plane, transverse electrical biases to the two segments. In particular, using an efficient tight-binding theoretical formulation, we explicitly obtain energy eigenvalues and probability distributions of discontinuity-induced, interface-confined electron eigenstate…

Replaced article(s) found for math.OC. https://arxiv.org/list/math.OC/new
[1/1]:
- A robust BFGS algorithm for unconstrained nonlinear optimization problems
Yaguang Yang
https://arxiv.org/abs/1212.5929
- Quantum computing and the stable set problem
Alja\v{z} Krpan, Janez Povh, Dunja Pucher
https://arxiv.org/abs/2405.12845 https://mastoxiv.page/@arXiv_mathOC_bot/112483516437815686
- Mean Field Game with Reflected Jump Diffusion Dynamics: A Linear Programming Approach
Zongxia Liang, Xiang Yu, Keyu Zhang
https://arxiv.org/abs/2508.20388 https://mastoxiv.page/@arXiv_mathOC_bot/115111048711698998
- Differential Dynamic Programming for the Optimal Control Problem with an Ellipsoidal Target Set a...
Sungjun Eom, Gyunghoon Park
https://arxiv.org/abs/2509.07546 https://mastoxiv.page/@arXiv_mathOC_bot/115179281556444440
- On the Moreau envelope properties of weakly convex functions
Marien Renaud, Arthur Leclaire, Nicolas Papadakis
https://arxiv.org/abs/2509.13960 https://mastoxiv.page/@arXiv_mathOC_bot/115224514482363803
- Automated algorithm design via Nevanlinna-Pick interpolation
Ibrahim K. Ozaslan, Tryphon T. Georgiou, Mihailo R. Jovanovic
https://arxiv.org/abs/2509.21416 https://mastoxiv.page/@arXiv_mathOC_bot/115286533597711930
- Optimal Control of a Bioeconomic Crop-Energy System with Energy Reinvestment
Othman Cherkaoui Dekkaki
https://arxiv.org/abs/2510.11381 https://mastoxiv.page/@arXiv_mathOC_bot/115372322896073250
- Point Convergence Analysis of the Accelerated Gradient Method for Multiobjective Optimization: Co...
Yingdong Yin
https://arxiv.org/abs/2510.26382 https://mastoxiv.page/@arXiv_mathOC_bot/115468018035252078
- History-Aware Adaptive High-Order Tensor Regularization
Chang He, Bo Jiang, Yuntian Jiang, Chuwen Zhang, Shuzhong Zhang
https://arxiv.org/abs/2511.05788
- Equivalence of entropy solutions and gradient flows for pressureless 1D Euler systems
Jos\'e Antonio Carrillo, Sondre Tesdal Galtung
https://arxiv.org/abs/2312.04932 https://mastoxiv.page/@arXiv_mathAP_bot/111560077272113052
- Kernel Modelling of Fading Memory Systems
Yongkang Huo, Thomas Chaffey, Rodolphe Sepulchre
https://arxiv.org/abs/2403.11945 https://mastoxiv.page/@arXiv_eessSY_bot/112121123836064435
- The Maximum Theoretical Ground Speed of the Wheeled Vehicle
Altay Zhakatayev, Mukatai Nemerebayev
https://arxiv.org/abs/2502.15341 https://mastoxiv.page/@arXiv_physicsclassph_bot/114057765769441123
- Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity
Giacomo Greco, Luca Tamanini
https://arxiv.org/abs/2504.11133 https://mastoxiv.page/@arXiv_mathPR_bot/114346453424694503
- Optimizing the ground state energy of the three-dimensional magnetic Dirichlet Laplacian with con...
Matthias Baur
https://arxiv.org/abs/2504.21597 https://mastoxiv.page/@arXiv_mathph_bot/114431404740241516
- A localized consensus-based sampling algorithm
Arne Bouillon, Alexander Bodard, Panagiotis Patrinos, Dirk Nuyens, Giovanni Samaey
https://arxiv.org/abs/2505.24861 https://mastoxiv.page/@arXiv_mathNA_bot/114612580684567066
- A Novel Sliced Fused Gromov-Wasserstein Distance
Moritz Piening, Robert Beinert
https://arxiv.org/abs/2508.02364 https://mastoxiv.page/@arXiv_csLG_bot/114976243138728278
- Minimal Regret Walras Equilibria for Combinatorial Markets via Duality, Integrality, and Sensitiv...
Alo\"is Duguet, Tobias Harks, Martin Schmidt, Julian Schwarz
https://arxiv.org/abs/2511.09021 https://mastoxiv.page/@arXiv_csGT_bot/115541243299714775
toXiv_bot_toot

Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
Brian Hu Zhang, Ioannis Anagnostides, Tuomas Sandholm
https://arxiv.org/abs/2510.04407

Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
A considerable chasm has been looming for decades between theory and practice in zero-sum game solving through first-order methods. Although a convergence rate of $T^{-1}$ has long been established since Nemirovski's mirror-prox algorithm and Nesterov's excessive gap technique in the early 2000s, the most effective paradigm in practice is *counterfactual regret minimization*, which is based on *regret matching* and its modern variants. In particular, the state of the art across most benchmarks …

Anomalous Fraunhofer patterns in Cd$_3$As$_2$ Josephson Junctions
Rak-Hee Kim, Yeongmin Jang, Bob M. Wang, Dong Yu, Yong-Joo Doh
https://arxiv.org/abs/2510.03736 https://…

Anomalous Fraunhofer patterns in Cd$_3$As$_2$ Josephson Junctions
Majorana zero modes (MZMs) in topological superconductors are promising for quantum computing, yet their unambiguous detection remains challenging. We fabricated Josephson junctions (JJs) using Cd$_3$As$_2$ Dirac semimetal nanoribbons with NbTi superconducting electrodes to investigate topological supercurrents through Fraunhofer pattern analysis. The JJs exhibited excellent quality with high transparency ($τ$ = 0.77) and large induced superconducting gap ($Δ$ = 1.10 meV), confirmed by multip…